@confecciones._.valentina profile picture

Confecciones Valentina

@confecciones._.valentina

9,300
Followers
907
Following
12
Posts
29Instapect ScoreF

Instapect Score

29/100 · grade F — a performance read, benchmarked against 5K–25K followers.

Nano tier9,300 followersAudience Reach44/100Benchmarked against 5K–25K followers
Engagement rate
0.44%

by followers · typical 2.80%

Avg likes
39

median 22

Avg comments
2

median 1

Cadence
0.7

posts / week · 9.7 d apart

Comment-to-like
6.19%

healthy band 1–3%

Median ER
0.24%

middle post in the sample

Public-profile audit · 10 posts sampled (2 pinned excluded) · retrieved 8 Sept 2026· served from cache

𝐷𝑜𝑛𝑑𝑒 𝑐𝑎𝑑𝑎 𝑝𝑢𝑛𝑡𝑎𝑑𝑎 𝑐𝑢𝑒𝑛𝑡𝑎 𝑡𝑢 ℎ𝑖𝑠𝑡𝑜𝑟𝑖𝑎🪡 𝑩𝒐𝒓𝒅𝒂𝒅𝒐𝒔 • 𝑫𝑻𝑭 • 𝑮𝒐𝒓𝒓𝒂𝒔 • 𝑪𝒉𝒂𝒍𝒆𝒄𝒐𝒔 ᴘᴇʀꜱᴏɴᴀʟɪᴢá ᴛᴜ ɪᴍᴀɢᴇɴ ᴄᴏɴ ɴᴏꜱᴏᴛʀᴏꜱ 🚀 📍𝐒𝐚𝐧 𝐉𝐨𝐬é, 𝐄𝐧𝐭𝐫𝐞 𝐑í𝐨𝐬

valentinaconfecciones.com.ar/

Profile snapshot

Headline public metrics for @confecciones._.valentina, from 10 sampled posts. Averages sit beside medians so one viral post cannot flatter the picture.

Engagement rate

0.44%

(avg likes + avg comments) ÷ followers · median 0.24% · 5K–25K followers

Average likes

39

Median 22 · 9 posts with a visible like count

Average comments

2

Median 1 · comment-to-like 6.2%

Posting cadence

0.7posts / week

About one post every 9.7 days

Latest posts

Newest first · engagement rate by followers per post

How the score was built

The verdict is at the top of the page; this is the reasoning underneath it. Every sub-score prints its own weight and formula — no black box.

Archetype

Developing Profile

No single pattern dominates yet. The sub-scores below show which dimension moves the result most.

Nominal weights: Engagement 35% · Engagement Quality 25% · Consistency 15% · Content Performance 15% · Growth 10%. Audience Reach is context only and carries no weight — every account is graded against peers in its own follower tier · composite from 3 of 5 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

44 /100

Nano tier

9,300 followers (under 10K followers). An asset score: how many people this account can reach. It does not move with how well the posts perform.

What this means

Engagement sits in the bottom quartile of its tier

Engagement rate 0.44% is below the 1.40% bottom quartile for 5K–25K followers, where typical is 2.80%. Closing to typical would mean roughly 532% more likes and comments per post at the current follower count.

Posting frequency is the most controllable lever

At 0.72 posts per week — one every 10 days — the account publishes less than once a week. Unlike engagement rate, cadence is entirely within the owner's control, which makes it the cheapest thing on this page to change.

A few posts carry the average

Median likes (22) are only 57% of the average (39), so a small number of strong posts is lifting the mean. Read the median as the typical result and treat the outliers as a template worth repeating.

Audience Reach

44 /100

9,300 followers puts this account in the Nano tier (under 10K followers). This is an asset score — how many people the account can reach — and it never moves based on how well the posts perform.

Weight 0% · log-scaled followers: L = log10(followers); L≤3 → 5–25, 3<L≤6 → 25 + (L − 3) × 20, L>6 → 85 + (L − 6) × 15, capped 100

log10(9,300) = 3.97, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

13 /100

Engagement rate 0.44%, below the 1.40% bottom quartile for accounts with 5K–25K followers. Typical is 2.80%.

Weight 35% · piecewise-linear percentile curve for 5K–25K followers: 0%→5, p25 1.40%→30, p50 2.80%→55, p90 6.00%→85, 10.80%→100

Engagement rate 0.44% mapped onto the 5K–25K followers percentile curve (0%→5, p25 1.40%→30, p50 2.80%→55, p90 6.00%→85), measured across 9 of 10 sampled posts with visible like counts.

Engagement Quality

Not measurable

Weight 25% · comment-to-like ratio = avg comments ÷ avg likes × 100, mapped 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100

The typical post carries 1 comments, below the 5-comment base at which a comment-to-like ratio is statistically meaningful. One or two reactions expressed as a percentage is not a measurement, so the weight is redistributed rather than scored.

Consistency

37 /100

Posting cadence 0.72 posts per week, below the 1-per-week floor most active accounts clear. Gaps between posts vary by 0.54× the mean gap of 9.7 days — under 0.5× reads as a dependable rhythm.

Weight 15% · 60 × (1 − clamp(stdev(gaps) ÷ mean(gaps), 0, 1)) + 40 × cadence factor (0/wk → 0, 3/wk → 1.0, 3–7/wk → 1.0, 14/wk → 0.6, ≥21/wk → 0.3)

regularity 0.46 (1 − stdev 5.3d ÷ mean gap 9.7d) and cadence factor 0.24 from 0.7 posts/week (0→0, ramping to 1.0 at 3/wk, flat 1.0 through 7/wk, tapering to 0.6 at 14/wk and 0.3 at 21+/wk).

Content Performance

60 /100

Breakout upside could not be measured on this sample. 70% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 2 distinct formats.

Weight 15% · 60 × upside score (top-post likes ÷ median likes: 1×→30, 2×→60, 3×→80, ≥5×→100) + 25 × caption-and-hashtag share + 15 × format mix (1.0 if ≥2 product types, else 0.5)

Upside unavailable (the median post draws fewer than 30 visible likes, too thin a base for a breakout ratio); its weight was redistributed. enrichment 0.70 (caption + ≥1 hashtag), format mix 1.0 (2 distinct product types).

Growth Signals

Not measurable

Weight 10% · clamp(50 + weekly follower growth % × 25, 0, 100), where weekly % = (followers now ÷ followers then − 1) × 100 ÷ weeks

This is the first recorded audit of this account, so there is no observation window yet. Instagram publishes no follower history — Instapect measures growth by comparing snapshots it takes itself, and the trend appears from the second audit that is at least 7 days later.

Growth & cadence

Instagram publishes no follower history, so Instapect builds its own: every audit records a snapshot, and the trend below is measured across those snapshots. Everything else here comes from the visible posting record.

Follower growth

This is the first recorded audit of this account, so there is no observation window yet. Instagram publishes no follower history — Instapect measures growth by comparing snapshots it takes itself, and the trend appears from the second audit that is at least 7 days later.

Engagement rate per post (%)

Oldest to newest across the sampled posts. Unit: % of followers.

Likes and comments per post

Unit: absolute interactions per post.

Free account required

Create a free account to see when this account posts and when its audience actually responds — weekday mix and hour-of-day heatmap.

Engagement diagnostics

Averages are easily distorted by one viral post. The median tells you what a typical post actually does — read them side by side.

Average engagement rate

0.44%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

0.03%

Comments ÷ followers × 100 — the honest fallback when likes are hidden

Median engagement rate

0.24%

Middle post in the sample

Comment-to-like ratio

6.2%

Higher means more conversational audience

Like-based sample

9of 10 posts

1 post hide their like count and are excluded from like-based numbers only — they still count for cadence, format, captions and comments (10 posts).

Free account required

Create a free account to see the full engagement distribution — how far the best and worst posts sit from the median.

Content leaderboard

Posts ranked by engagement rate by followers. Pinned posts are shown because a reader will recognise them, but they sit outside the measured window and feed no average, rate or rhythm.

Free account required

Create a free account to see the full content breakdown — every top post with its thumbnail and per-post engagement rate.

Hashtags & mentions

Frequency from captions in the sample, with the average engagement rate of the posts each tag appears on. Association, not causation.

Free account required

Create a free account to see the full hashtag and mention detail, with the engagement associated with each tag.

Action plan

Prioritised by expected impact, written from the measured data above. The advisor sees only the metrics this report could actually compute — never an estimate, never a metric Instagram keeps private.

Free account required

Create a free account to read the full AI action plan, the content plan, post ideas, hashtag strategy and best time to post for this account.

Methodology & caveats

What this report measures, how, and what it deliberately does not claim.

What this account does not make measurable

  • 1 of 10 sampled posts hide their like count. They stay in the sample for cadence, format, caption and comment metrics, and are excluded only from like-based ones, which are computed from 9 posts.
  • 2 pinned posts were detected at the head of the response and excluded from the content window, leaving 10 of the 12 returned items. Pinned posts hold permanent placement and keep accumulating engagement, and the oldest one manufactures a gap that never happened — so they are excluded from cadence, gaps, regularity, format mix and every average. They still appear in the content leaderboard, badged "Pinned".
  • The content sample is the 10-item recent-posts window. The reels endpoint reaches further back and covers Reels only, so it is used to enrich matched items with their play count (8 matched) — never to extend the sample, which would inflate the Reel share and corrupt cadence.
  • 4 older Reels outside the content window are shown separately in "Top Reels by plays" with their own window, and are excluded from every average, the format mix and all cadence maths.
  • Play counts are published public counts shown only where the provider returns them. They are not reach, views or watch time, and none of those are available for a public-profile audit.

KPI definitions

  • Engagement rate by followers = (average likes + average comments) ÷ followers × 100.
  • Median engagement rate = the middle post's engagement rate in the sample; robust to viral outliers.
  • Posting cadence = (sampled posts − 1) ÷ days spanned × 7. Intervals, not posts: n posts span n−1 gaps. Unavailable below 2 posts or a zero-day window.
  • Instapect Score = 0.35 × Engagement + 0.25 × Engagement Quality + 0.15 × Consistency + 0.15 × Content Performance + 0.10 × Growth Signals, renormalised over the sub-scores that could be measured. Every account is graded against peers in its own follower tier; Audience Reach is reported separately and carries no weight.
  • Comment-to-like ratio = average comments ÷ average likes × 100. A healthy conversational account sits between 1% and 3%.

Sample, source & limits

  • 10 public posts sampled (9 usable for like-based metrics) · retrieved 8 Sept 2026 · served from the 24-hour cache.
  • Only lawfully-visible public signals are used: published posts, visible counts, captions, hashtags, mentions and timestamps.
  • Instapect never reports reach, impressions, audience demographics, Story insights or Reels watch-time. Those are private to the account owner and any tool claiming them for a third party is guessing.
  • Benchmarks are published industry medians by follower tier and are indicative, not guarantees. Any forward-looking figure is labelled an estimate with its method stated.

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This report is built only from lawfully-visible public Instagram signals — published posts and visible counts. It contains no reach, impressions, demographics, Story insights or watch-time, because nobody outside the account can see those. Request removal and the report is delisted from the directory, the category hubs and the sitemap.